Software Engineer– Dr.Zero (AI-Powered Decarbonization Platform)_CEO室

Software Engineer– <Dr.Zero> (AI-Powered Decarbonization Platform)_CEO室

仕事概要

About <Dr.ZeroDr.Zero> is not a <dashboard.It> is not just a reporting <tool.It> is an AI-powered autonomous operating system for corporate <decarbonization.Dr.Zero> ingests messy enterprise data (PDFs, invoices, ERP exports, IoT streams), validates it with ML, enables natural language analysis, simulates reduction scenarios, monitors real-time performance, and identifies cleantech innovations.The system consists of six autonomous modules:INGEST – OCR + intelligent document processing for structured extractionVALIDATE – AI-driven anomaly detection and data quality scoringSYNTHESIS – Natural language queries + multi-framework ESG reportingARCHITECT – MACC analysis, NPV optimization, decarbonization roadmapsSENTINEL – Real-time dashboards and intelligent alertingUPGRADE – AI-based cleantech discovery and implementation proposalsAll modules are orchestrated by an Agentic Workflow Engine with human-in-the-loop approvals and conversational AI interfaces.This is enterprise-grade, AI-native infrastructure for Japan’s largest companies.Why This Role MattersJapan’s GX policy and global ESG regulations are creating mandatory disclosure and reduction requirements.The carbon management software market is projected to reach $60B+ by 2030.Every feature you ship directly influences real-world emission reduction <decisions.You> will build systems that affect whether factories adopt hydrogen furnaces, fleets electrify, or supply chains uncover hidden Scope 3 emissions.This is planetary infrastructure — not engagement metrics.ResponsibilitiesAs a founding engineer on <Dr.Zero>, you will work across the full stack and take ownership end-to-end.Examples of ownership include:Designing event-driven communication between microservicesBuilding OCR-to-structured-data pipelines for Japanese invoicesArchitecting natural language query engines over carbon datasets (RAG)Implementing scenario simulation engines (MACC, NPV optimization)Developing real-time anomaly detection and alerting systemsDesigning Terraform modules and Kubernetes manifestsShipping an embeddable Agentic SDK for other Zeroboard productsBuilding multi-step workflow engines with compliance-grade audit trailsWe are a small team. There are no strict boundaries. You will shape architecture decisions that define the <product.Tech> StackFrontendNext.js 15, TypeScript, React Server ComponentsTailwind CSSAgentic UI frameworkBackendPython 3.12 / FastAPIGraphQL (BFF Gateway)Domain-Driven Design microservicesAI / MLAmazon Bedrock (LLMs)Amazon Textract (OCR)Amazon SageMaker (custom ML)RAG with OpenSearchInfrastructureAmazon EKS (Fargate)Terraform (IaC)ArgoCD (GitOps)AWS Step FunctionsEventBridge / SQS / SNSAurora PostgreSQL Serverless v2Redis / OpenSearch ServerlessObservability & SecurityCloudWatch, Grafana, X-RayCognito (SAML/OIDC)WAF, VPC isolation, KMS encryption

必須スキル

About <Dr.ZeroDr.Zero> is not a <dashboard.It> is not just a reporting <tool.It> is an AI-powered autonomous operating system for corporate <decarbonization.Dr.Zero> ingests messy enterprise data (PDFs, invoices, ERP exports, IoT streams), validates it with ML, enables natural language analysis, simulates reduction scenarios, monitors real-time performance, and identifies cleantech innovations.The system consists of six autonomous modules:INGEST – OCR + intelligent document processing for structured extractionVALIDATE – AI-driven anomaly detection and data quality scoringSYNTHESIS – Natural language queries + multi-framework ESG reportingARCHITECT – MACC analysis, NPV optimization, decarbonization roadmapsSENTINEL – Real-time dashboards and intelligent alertingUPGRADE – AI-based cleantech discovery and implementation proposalsAll modules are orchestrated by an Agentic Workflow Engine with human-in-the-loop approvals and conversational AI interfaces.This is enterprise-grade, AI-native infrastructure for Japan’s largest companies.Why This Role MattersJapan’s GX policy and global ESG regulations are creating mandatory disclosure and reduction requirements.The carbon management software market is projected to reach $60B+ by 2030.Every feature you ship directly influences real-world emission reduction <decisions.You> will build systems that affect whether factories adopt hydrogen furnaces, fleets electrify, or supply chains uncover hidden Scope 3 emissions.This is planetary infrastructure — not engagement metrics.ResponsibilitiesAs a founding engineer on <Dr.Zero>, you will work across the full stack and take ownership end-to-end.Examples of ownership include:Designing event-driven communication between microservicesBuilding OCR-to-structured-data pipelines for Japanese invoicesArchitecting natural language query engines over carbon datasets (RAG)Implementing scenario simulation engines (MACC, NPV optimization)Developing real-time anomaly detection and alerting systemsDesigning Terraform modules and Kubernetes manifestsShipping an embeddable Agentic SDK for other Zeroboard productsBuilding multi-step workflow engines with compliance-grade audit trailsWe are a small team. There are no strict boundaries. You will shape architecture decisions that define the <product.Tech> StackFrontendNext.js 15, TypeScript, React Server ComponentsTailwind CSSAgentic UI frameworkBackendPython 3.12 / FastAPIGraphQL (BFF Gateway)Domain-Driven Design microservicesAI / MLAmazon Bedrock (LLMs)Amazon Textract (OCR)Amazon SageMaker (custom ML)RAG with OpenSearchInfrastructureAmazon EKS (Fargate)Terraform (IaC)ArgoCD (GitOps)AWS Step FunctionsEventBridge / SQS / SNSAurora PostgreSQL Serverless v2Redis / OpenSearch ServerlessObservability & SecurityCloudWatch, Grafana, X-RayCognito (SAML/OIDC)WAF, VPC isolation, KMS encryption

歓迎スキル

・AI/ML engineering experience (LLMs, RAG, document processing)・Data engineering or event-driven architecture experience・Kubernetes / Terraform / platform engineering experience・Experience designing scalable design systems・Knowledge of carbon accounting, GHG Protocol, or ESG frameworks・Japanese language proficiency (JLPT N2+ preferred)

求める人物像

You may be a strong fit if:You’ve taken AI systems from demo to productionYou have strong architectural opinions shaped by real trade-offsYou’ve managed infrastructure in production environmentsYou care about climate change and want your engineering work to matter

応募概要

給与

Compensation will be determined based on skills, experience, and potential contribution.

勤務地

Location:10th Floor, Sumitomo Fudosan Tokyo Mita South Tower, 3-5-27 Mita, Minato-ku, Tokyo

雇用形態

Full-time employee

勤務体系

Working Hours: Flextime systemNo core hours; flexible time from 5:00 a.m. to 10:00 p.m.Breaks: 1 hour per day, to be taken during working hoursAnnual Holidays: 121 days (based on 2024 results)Days Off: Complete five-day workweek (Saturday and Sunday) plus national holidaysPaid Leave: In accordance with statutory requirements (with 5 days granted in advance upon joining)Other Leave: Year-end/New Year holidays, bereavement leave, sick leave

試用期間

3-month

福利厚生

Transportation: Full reimbursement of commuting expensesHealth & Well-being: Comprehensive social insurance (health insurance, employee pension, workers’ compensation, employment insurance) + annual health check-up coverage (including gynecological exams)Work Tools: Provision of necessary IT equipment (laptop, smartphone, etc.) and coverage of any required software licenses for your roleProfessional Growth: Support for training, certifications, and skill development related to your role and the ESG/sustainability domainWork-Life Balance: Flextime system with no core hours, full-remote option with occasional office gatherings, and generous holiday policy (121+ days annually)